From 1993. The topic of election forecasting sure gets a lot more attention than it used to! Here are some quotes from my review of that book by Michael Lewis-Beck and Tom Rice:

Political scientists are aware that most voters are consistent in their preferences, and one can make a good guess just looking at the vote counts in the previous election.

Objective analysis of a few columns of numbers can regularly outperform pundits who use inside knowledge.

The rationale for forecasting electoral vote directly . . . is mistaken.

The book’s weakness is its unquestioning faith in linear regression . . . We should always be suspicious of any grand claims made about a linear regression with five parameters and only 11 data points. . . .

Funny that I didn’t suggest the use of informative prior distributions. Only recently have I been getting around to this point.

And more:

The fact that U.S. elections can be successfully forecast with little effort, months ahead of time, has serious implications for our understanding of politics. In the short term, improved predictions will lead to more sophisticated campaigns, focusing more than ever on winnable races and marginal states.